Senior Analyst, Sales Intelligence

🕒 il y a 3 jours

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of SS&C Technologies

SS&C Technologies

10 000+ employés

Fondée en 1986

🏦 Banque

💳 Fintech

Banking • Healthcare • Fintech

SS&C Technologies est un leader mondial dans le domaine des services financiers et des technologies de santé, reconnue comme le plus grand administrateur indépendant de fonds spéculatifs et de fonds de capital-investissement, ainsi que la plus grande agence de transfert de fonds communs de placement au monde. L'entreprise propose une gamme complète de solutions, comprenant la gestion d'actifs, les services bancaires, la santé, l'assurance et la gestion de patrimoine, en utilisant des logiciels propriétaires et une vaste expertise pour satisfaire les besoins opérationnels des clients dans divers secteurs.

Description

• Leverage scalable data models within AWS data warehouse environments to support sales reporting and analytics • Develop and optimize Tableau dashboards (Tableau Cloud) and Salesforce reports to provide clear visibility into pipeline, bookings, and performance metrics • Responsible for the management of our reporting integrity, consistency, and alignment of data across AWS, Salesforce, and BI platforms • Write and optimize complex SQL queries to transform and analyze large, multi-source datasets • Partner with Sales and Revenue Operations to define, standardize, and track key performance indicators (KPIs) • Translate business questions into scalable data solutions and reporting frameworks • Identify trends, anomalies, and opportunities to improve sales performance and operational efficiency • Continuously enhance data models, dashboard performance, and reporting usability.

🎯 Exigences

• 4 + years of experience in Sales Intelligence, Sales Operations, or Data Analytics • Advanced proficiency in SQL and hands-on experience with AWS data warehouses (e.g., Redshift or similar) • Strong experience building dashboards in Tableau • Deep knowledge of Salesforce data models, reporting, and sales processes • Strong understanding of how AI/ML capabilities can be applied to large-scale datasets to enhance analysis, forecasting, and decision-making • Proven ability to connect data structures to business metrics and outcomes • Strong analytical thinking, problem-solving skills, and attention to detail • Ability to work cross-functionally and communicate effectively with both technical and business stakeholders.

🏖️ Avantages

• medical, dental, and vision coverage • 401(k) plan with company match • paid time off • holidays • parental leave • professional development reimbursement opportunity

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